Walmart Global Tech is seeking a Machine Learning Engineer III to join their Data Ventures team, which operates like a startup within Walmart's ecosystem. This role focuses on developing and deploying cutting-edge machine learning solutions that power data-driven insights for merchants and suppliers.
The position offers an unique opportunity to work at the intersection of retail and technology, where your code can impact hundreds of millions of people. As part of the team, you'll be responsible for building and deploying scalable end-to-end data science solutions, working closely with data engineers, analysts, and scientists to implement ML models and monitoring workflows.
The role requires expertise in MLOps practices, including working with tools like MLflow and Kubeflow, along with strong programming skills in Python/R and SQL. You'll be involved in the complete ML lifecycle, from data monitoring to model deployment, while following industry best practices and staying current with the latest developments in machine learning research.
Walmart offers a competitive compensation package with a salary range of $117,000-$234,000 for the Sunnyvale location, along with comprehensive benefits including health insurance, 401(k) matching, stock purchase plans, and paid parental leave. The company embraces a hybrid work model that combines in-office collaboration with flexible remote work options.
The ideal candidate will have an engineering mindset with experience in software engineering principles, CICD, and distributed systems, particularly as applied to machine learning projects. You should be comfortable integrating ML models with web services and working in a collaborative team environment.
This role represents an opportunity to work on impactful projects at scale while enjoying the benefits of working for a major technology employer in Silicon Valley. You'll be part of a team that's reimagining retail through technology innovation, with access to vast amounts of data and resources to support your work.
Walmart is committed to diversity and inclusion, believing that diverse perspectives lead to better solutions. The company offers extensive professional development opportunities and the chance to work on projects that affect millions of customers worldwide. If you're passionate about machine learning, eager to work at scale, and want to make a significant impact in retail technology, this role offers an excellent opportunity to achieve those goals.